Sparrow Search Algorithm (SSA) is a new type of swarm intelligence optimization algorithm recently proposed. Compared with other intelligent algorithms, this algorithm has better effect, but still has the probl
”. To answer this question, we will resort to the “No Free Lunch” theorem (Wolpert & Macready, 1997), which advocates that no single optimization algorithm can take care of all sorts of optimization problems with same efficiency. This very fact motivates researchers to propose new ...
The Logistic mapping function operator has an impact on the convergence rate of this optimal search algorithm (Khodkar and Hassanzadeh, 2021), so the Tent chaos mapping operator is selected to optimize the SSA. Tent chaotic mapping operator is used to optimize the sparrow search algorithm. Show...
In the vigilante update stage, the spiral foraging behaviour of the manta ray population in the integrated manta ray optimization algorithm, the sparrows search around the best food source, which enhances the sparrow search algorithm's ability to explore the optimal solution. To enhance the ...
In order to solve the problem that the sparrow search algorithm is easy to fall into local optimum and lack of search ability in the process of optimization, a chaos improved sparrow search algorithm (SMSSA) is proposed, which combines the improved slime mold ...
Meta-heuristic optimization algorithms are often a solid choice to solve NP-hard problems like FS. In this study, we present a wrapper FS technique based on the sparrow search algorithm (SSA), a type of meta-heuristic. SSA is a swarm intelligence (SI) method that stands out because of ...
Sparrow search algorithmExtreme learning machineOptimizationFitting functionClassificationExtreme learning machine (ELM) is a machine learning algorithm based on single hidden layer feedforward neural network. Compared with traditional neural network algorithms, ELM has the advantages of fast training speed and...
Chaotic Quantum Sparrow Search Algorithm (CQSSA) is proposed, population individual coding rules are formulated, also E-B&QC model solving algorithm is established. Finally, a new berth-crane allocation optimization method, namely, E-B&QC-CQSSA, is proposed. Subsequently, the feasibility and ...
Firstly, chaotic sparrow search algorithm (CSSA) is designed which mainly utilizes logistic mapping, self-adaptive hyper-parameters, mutation operator to enhance the global optimization capability of SSA; Secondly, as the performance of SCN is related to regularization parameter r and scale factor 位 ...
Single objective optimizationSparrow search algorithm (SSA)A population-based metaheuristic algorithm that takes its cues from the foraging strategy of sparrows is called the sparrow search algorithm (SSA). While SSA is competitive when compared to other algorithms, it nevertheless has a propensity to ...